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Title:

Covariate-adaptive clustering of exposures for air pollution epidemiology cohorts

Document type:
Zeitschriftenaufsatz
Author(s):
Keller, Joshua P.; Drton, Mathias; Larson, Timothy; Kaufman, Joel D.; Sandler, Dale P.; Szpiro, Adam A.
Abstract:
Cohort studies in air pollution epidemiology aim to establish associations between health outcomes and air pollution exposures. Statistical analysis of such associations is complicated by the multivariate nature of the pollutant exposure data as well as the spatial misalignment that arises from the fact that exposure data are collected at regulatory monitoring network locations distinct from cohort locations. We present a novel clustering approach for addressing this challenge. Specifically, we...     »
Keywords:
Air pollution, clustering, dimension reduction, particulate matter
Dewey Decimal Classification:
510 Mathematik
Journal title:
The Annals of Applied Statistics
Year:
2017
Journal volume:
11
Year / month:
2017-04
Quarter:
2. Quartal
Month:
Apr
Journal issue:
1
Pages contribution:
93-113
Language:
en
Fulltext / DOI:
doi:10.1214/16-aoas992
WWW:
Project Euclid
Publisher:
Institute of Mathematical Statistics
E-ISSN:
1932-6157
Date of publication:
08.04.2017
Format:
Text
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